59 citations · 122 across the 7 of their papers we have counts for
4 papers · 1 filter
Let Me Clarify: Interactive Modeling of Soft Attributes
Steffen Holter, Rita Sevastjanova, Michaela Benk +1
People commonly express preferences through soft attributes such as is interesting,'' which are difficult to operationalize for computational preference modeling. Latent representa…
Trust Hinders Bidirectional Human-AI Alignment
Michaela Benk, Kacper Sokol
Trust calibration remains the dominant framing of AI-assisted decision making: the goal is to close the gap between perceived and actual trustworthiness of AI systems so that users…
Ranking Companion: A Visual Analytics Approach to Item-Based Ranking with Hybrid Item Selection
Aman Kumar, Maximilian Tornow, Michaela Benk +2
Personalizing item ranking creation is a challenging task, especially when users lack knowledge of data attributes or the ability to express and formalize their attribute preferenc…
Same Performance, Hidden Bias: Evaluating Hypothesis- and Recommendation-Driven AI
Michaela Benk, Tim Miller
The HCI community commonly evaluates decision support systems based on whether they improve task performance or promote appropriate user reliance. In this work, we look beyond deci…